为了提高锆柱撑膨润土（Zirconium Pillar Bentonite，Zr-Bent）对刚果红（Congo Red，CR）的吸附速率和吸附能力，采用超声辅助Zr-Bent强化吸附CR，并建立吸附预测模型，优化其反应条件，探究超声辅助吸附机理。结果表明，相较于Zr-Bent单独处理，超声辅助Zr-Bent吸附可使吸附速率提高11倍，去除率提高10.3%。根据Box-Behnken响应面优化实验结果，当pH 6.0、吸附时间为10 min、吸附剂投加量为1.5 g/L时，CR去除率可达99.6%。对建立的预测模型进行验证，CR实际去除率为99.8%，预测精度高。根据SEM、BET检测和吸附动力学分析，超声不但改变了吸附剂的结构，同时能加快化学吸附的液-固相传质过程。

In order to improve the adsorption rate and capacity of zirconium pillar bentonite (Zr-Bent) to Congo red, ultrasound is utilized to enhance the adsorption of Zr-Bent to Congo red.The adsorption prediction model is established to optimize the reaction conditions and explore the mechanism of ultrasound-enhanced adsorption.The results show that compared with Zr-Bent treatment alone, ultrasonic-enhanced Zr-Bent adsorption can increase the adsorption rate by 11 times and the removal rate by 10.3%.According to the results by Box-Behnken response surface optimization experiments, the removal rate of Congo red can reach 99.6% when pH=6.0, adsorption time is 10 min and adsorbent dosage is 1.5 g·L^-1.The removal rate of Congo red can reach 99.8% when it is verified by the established prediction model, showing a high prediction accuracy.It is found through SEM, BET observation and adsorption kinetic analysis that ultrasound has changed the structure of the adsorbent and accelerated the liquid-solid mass transfer process of chemical adsorption.

郝梦亚(1996-),女,硕士研究生,研究方向为水处理技术,2630554378@qq.com